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  3. Knowledge Base Generation

Knowledge Base Generation

Knowledge Base Generation is the process of using AI technology to organize and consolidate an organization's documents, data, FAQs, manuals, and other information sources, automatically building a searchable knowledge database (knowledge base) that can power search and automated responses. This enables centralized information management and rapid access, contributing to more efficient customer support and internal knowledge sharing. Technologies used in knowledge base generation include: • Semantic analysis and summarization of text using natural language processing (NLP) • Systematic organization of information through document classification and topic extraction • Automatic generation of Q&A pairs using large language models (LLMs) • Deduplication, data merging, and data cleansing The resulting knowledge base is integrated into chatbots, FAQ systems, and internal search tools, enabling users to ask questions in natural language and receive accurate, relevant answers. Knowledge Base Generation is an essential AI application for improving the efficiency and quality of information utilization in the age of information overload, playing an indispensable role in enterprise digital transformation (DX) and customer satisfaction improvement.

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